Instructions to use moonrabbit256/2K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use moonrabbit256/2K with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("moonrabbit256/2K", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 34e05d3b30bdaf2d72cfe3a2ccf9c76735583f4c5fdcc403de0086eaa1627569
- Size of remote file:
- 161 kB
- SHA256:
- 687b669d8234a418005ca9bfda93464b1721285b0a6a8d92490df0f02124ab7c
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